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Overview
Management Science : Theory, methods of linear statistical models, application to management. Simple, multiple, polynomial regression; matrix approach to regression; diagnostics and remedial measures; indicator variables; model selection, including stepwise regression; autocorrelation, one-and two-factor ANOVA, analysis of covariance; selected topics in experimental design and generalized linear models as time permits. Extensive use of Minitab.
Terms: This course is not scheduled for the 2010-2011 academic year.
Instructors: There are no professors associated with this course for the 2010-2011 academic year.
- Prerequisite (Undergraduate): MGCR 272 or MGCR 274